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11. 发明申请

US20210107519A1 RECONFIGURATION OF A VEHICLE BASED ON MONITORED USER BEHAVIOR 有权
公开(公告)号：US20210107519A1
公开(公告)日：2021-04-15
申请号：US17131569
申请日：2020-12-22
申请人： Bernd Gassmann , Cornelius Buerkle , Kay-Ulrich Scholl , Fabian Oboril
发明人： Bernd Gassmann , Cornelius Buerkle , Kay-Ulrich Scholl , Fabian Oboril
IPC分类号： B60W60/00 , G06N5/04 , G01C21/34 , G07C5/08 , B60W40/08 , B60W50/00 , B60W50/14
摘要： Disclosed embodiments provide a mobility as a service (MaaS) platform that orchestrates a variety of services that require a variety of different vehicle configurations. To ensure a cost effective vehicle fleet, the disclosed MaaS platform dynamically reconfigures vehicles as needed to perform services that are in demand. To accomplish this, some embodiments provide an API that allows third party service providers to register with the MaaS platform. The registration indicates capabilities of the third party service providers, and service center locations. The API also allows the MaaS platform to obtain status information on the third party service providers to, for example, determine wait times of the third party service providers to assist with scheduling vehicles for conversion.

12. 发明申请

US20210107496A1 PASSENGER DISCOMFORT MEASUREMENT DURING VEHICLE MANEUVER 有权
公开(公告)号：US20210107496A1
公开(公告)日：2021-04-15
申请号：US17131511
申请日：2020-12-22
申请人： Fabian Oboril , Cornelius Buerkle , Kay-Ulrich Scholl
发明人： Fabian Oboril , Cornelius Buerkle , Kay-Ulrich Scholl
IPC分类号： B60W50/00 , G06K9/00 , H04R1/08 , H04N5/225 , G10L25/63
摘要： System and techniques for passenger discomfort measurement during vehicle maneuver are described herein. A set of biomechanical measurements of a passenger in a vehicle may be obtained. A subset from the set of biomechanical measurements with members that correspond to distress in the passenger are selected and a search of vehicle actions performed that correspond to the subset of biomechanical measurements in time. Then, modification to future application of the vehicle action is made to reduce distress in passengers.

13. 发明申请

US20220242452A1 VEHICLE OCCUPANT MONITORING 有权
公开(公告)号：US20220242452A1
公开(公告)日：2022-08-04
申请号：US17482824
申请日：2021-09-23
申请人： Fabian Oboril , Cornelius Buerkle , Frederik Pasch , Bernd Gassmann , Javier Turek , Maria Soledad Elli , Javier Felip Leon , David Gonzalez Aguirre , Ignacio Javier Alvarez Martinez , Julio Fernando Jarquin Arroyo
发明人： Fabian Oboril , Cornelius Buerkle , Frederik Pasch , Bernd Gassmann , Javier Turek , Maria Soledad Elli , Javier Felip Leon , David Gonzalez Aguirre , Ignacio Javier Alvarez Martinez , Julio Fernando Jarquin Arroyo
IPC分类号： B60W60/00 , G06K9/00 , B60R22/48
摘要： System and techniques for vehicle occupant monitoring are described herein. Sensor data, that includes visual image data, is obtained from a sensor array of the vehicle. An object carried by the vehicle is detected from the visual image data. A safety event for the vehicle may be identified based on the object detection and an operational element of the vehicle is altered in response to detecting the safety event.

14. 发明申请

US20160080699A1 OBJECT VISUALIZATION IN BOWL-SHAPED IMAGING SYSTEMS 审中-公开
标题翻译： BOBL-SHAPED成像系统中的目标可视化
公开(公告)号：US20160080699A1
公开(公告)日：2016-03-17
申请号：US14488793
申请日：2014-09-17
申请人： Kay-Ulrich Scholl , Cornelius Buerkle , Koba Natroshvili
发明人： Kay-Ulrich Scholl , Cornelius Buerkle , Koba Natroshvili
IPC分类号： H04N7/18 , B60R1/00 , G06T5/00 , G06T15/20 , G06T7/00
CPC分类号： B60R1/00 , B60R2300/105 , B60R2300/303 , G06T3/005 , G06T15/04 , G06T15/10 , G06T15/20 , G06T2215/12
摘要： Technologies for visualizing moving objects on a bowl-shaped image include a computing device to receive a first fisheye image generated by a first fisheye camera and capturing a first scene and a second fisheye image generated by a second fisheye camera and capturing a second scene overlapping with the first scene at an overlapping region. The computing device identifies a moving object in the overlapping region and modifies a projected overlapping image region to visualize the identified moving object on a virtual bowl-shaped projection surface. The projected overlapping image region is projected on the virtual bowl-shaped projection surface and corresponds with the overlapping region captured in the first and second fisheye images.
摘要翻译：用于在碗形图像上可视化移动物体的技术包括计算装置，用于接收由第一鱼眼照相机产生的第一鱼眼图像，并捕获由第二鱼眼照相机产生的第一场景和第二鱼眼图像，并捕获与第重叠地区的第一个场景。计算设备识别重叠区域中的移动物体，并且修改投影的重叠图像区域以在虚拟碗状投影表面上可视化所识别的移动物体。投影的重叠图像区域被投影在虚拟的碗形投影表面上并对应于在第一和第二鱼眼图像中捕获的重叠区域。

15. 发明申请

US20220114805A1 AUTONOMOUS VEHICLE PERCEPTION MULTIMODAL SENSOR DATA MANAGEMENT 有权
公开(公告)号：US20220114805A1
公开(公告)日：2022-04-14
申请号：US17559422
申请日：2021-12-22
申请人： Julio Fernando Jarquin Arroyo , Ignacio J. Alvarez , Cornelius Buerkle , Fabian Oboril
发明人： Julio Fernando Jarquin Arroyo , Ignacio J. Alvarez , Cornelius Buerkle , Fabian Oboril
IPC分类号： G06V10/774 , G06N3/08 , G06V10/80 , G06V10/32
摘要： The automated driving perception systems described herein provide technical solutions for technical problems facing navigation sensors for autonomous vehicle navigation. These systems may be used to combine inputs from multiple navigation sensors to provide a multimodal perception system. These multimodal perception systems may augment raw data within a development framework to improve performance of object detection, classification, tracking, and sensor fusion under varying external conditions, such as adverse weather and light, as well as possible sensor errors or malfunctions like miss-calibration, noise, and dirty or faulty sensors. This augmentation may include injection of noise, occlusions, and misalignments from raw sensor data, and may include ground-truth labeling to match the augmented data. This augmentation provides improved robustness of the trained perception algorithms against calibration, noise, occlusion, and faults that may exist in real-world scenarios.

16. 发明申请

US20190225212A1 EXTENSION TO SAFETY PROTOCOLS FOR AUTONOMOUS VEHICLE OPERATION 审中-公开
公开(公告)号：US20190225212A1
公开(公告)日：2019-07-25
申请号：US16370372
申请日：2019-03-29
申请人： Cornelius Buerkle , Bernd Gassmann , Fabian Oboril
发明人： Cornelius Buerkle , Bernd Gassmann , Fabian Oboril
IPC分类号： B60W30/09 , B60W30/095 , B60W30/14 , G06K9/00
摘要： Various systems and methods for controlling a vehicle using driving policies are described herein. A system for controlling a vehicle using driving policies includes a memory device; and a processor subsystem to access instructions on the memory device that cause the processor subsystem to: operate a host vehicle using a driving policy from a policy repository, the host vehicle operating in a lane on a first road, the driving policy governed by a safety model; detect a second vehicle, the second vehicle operating in a second lane; determine whether the second vehicle is an oncoming vehicle or an intersecting vehicle, the oncoming vehicle operating on the first road with the first and second lanes in adjacent bidirectional arrangement, and the intersecting vehicle operating on a second road that intersects the first road; and initiate a vehicle maneuver of the host vehicle to reduce or avoid a collision with the second vehicle, based on the safety model, the vehicle maneuver performed based on whether the second vehicle is an oncoming vehicle or an intersecting vehicle.

17. 发明授权

US08639441B2 Vehicle navigation on the basis of satellite positioning data and vehicle sensor data 有权
标题翻译：基于卫星定位数据和车辆传感器数据的车辆导航
公开(公告)号：US08639441B2
公开(公告)日：2014-01-28
申请号：US13566621
申请日：2012-08-03
申请人： Koba Natroshvili , Cornelius Buerkle
发明人： Koba Natroshvili , Cornelius Buerkle
IPC分类号： G01C21/00
CPC分类号： G01S19/49
摘要： A vehicle navigation system includes a Kalman filter having a first filter receiving satellite positioning data and a second filter receiving vehicle sensor data. The first filter generates a first state vector estimate and a corresponding first state error covariance matrix. The second filter generates a second state vector estimate and a corresponding second state error covariance matrix. A third filter receives the first and second state vector estimates and the first and second state error covariance matrices, and generates a combined state vector estimate and a corresponding combined state error covariance matrix. A prediction processor generates a predicted state vector estimate and a predicted state error covariance matrix from the combined state vector estimate and the combined state error covariance matrix. The predicted state vector estimate and the predicted state error covariance matrix are provided to the first filter, the second filter, and the third filter.
摘要翻译：车辆导航系统包括具有接收卫星定位数据的第一滤波器和接收车辆传感器数据的第二滤波器的卡尔曼滤波器。第一滤波器产生第一状态向量估计和对应的第一状态误差协方差矩阵。第二滤波器产生第二状态矢量估计和相应的第二状态误差协方差矩阵。第三滤波器接收第一和第二状态向量估计以及第一和第二状态误差协方差矩阵，并且生成组合状态向量估计和对应的组合状态误差协方差矩阵。预测处理器从组合状态向量估计和组合状态误差协方差矩阵生成预测状态矢量估计和预测状态误差协方差矩阵。将预测状态矢量估计和预测状态误差协方差矩阵提供给第一滤波器，第二滤波器和第三滤波器。

18. 发明申请

US20130035855A1 VEHICLE NAVIGATION ON THE BASIS OF SATELLITE POSITIONING DATA AND VEHICLE SENSOR DATA 有权
标题翻译：基于卫星定位数据和车辆传感器数据的车辆导航
公开(公告)号：US20130035855A1
公开(公告)日：2013-02-07
申请号：US13566621
申请日：2012-08-03
申请人： Koba Natroshvili , Cornelius Buerkle
发明人： Koba Natroshvili , Cornelius Buerkle
IPC分类号： G01C21/00
CPC分类号： G01S19/49
摘要： A vehicle navigation system includes a Kalman filter having a first filter receiving satellite positioning data and a second filter receiving vehicle sensor data. The first filter generates a first state vector estimate and a corresponding first state error covariance matrix. The second filter generates a second state vector estimate and a corresponding second state error covariance matrix. A third filter receives the first and second state vector estimates and the first and second state error covariance matrices, and generates a combined state vector estimate and a corresponding combined state error covariance matrix. A prediction processor generates a predicted state vector estimate and a predicted state error covariance matrix from the combined state vector estimate and the combined state error covariance matrix. The predicted state vector estimate and the predicted state error covariance matrix are provided to the first filter, the second filter, and the third filter.
摘要翻译：车辆导航系统包括具有接收卫星定位数据的第一滤波器和接收车辆传感器数据的第二滤波器的卡尔曼滤波器。第一滤波器产生第一状态向量估计和对应的第一状态误差协方差矩阵。第二滤波器产生第二状态矢量估计和相应的第二状态误差协方差矩阵。第三滤波器接收第一和第二状态向量估计以及第一和第二状态误差协方差矩阵，并且生成组合状态向量估计和对应的组合状态误差协方差矩阵。预测处理器从组合状态向量估计和组合状态误差协方差矩阵生成预测状态矢量估计和预测状态误差协方差矩阵。将预测状态矢量估计和预测状态误差协方差矩阵提供给第一滤波器，第二滤波器和第三滤波器。

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